112 Pearls and Pitfalls of Big Data

Monday, April 30
7:00 am - 9:00 am
Location: 384/385; Ernest N. Morial

Fee: $100
Advanced Practice Provider Fee: $100
Candidate and Medical Student Fee: $65

Moderator(s): Lawrence S. Chin, MD, FAANS

Panelist(s): Anthony L. Asher, MD, FAANS; Frederick G. Barker II, MD, FAANS; Robert E. Harbaugh, MD, FAANS; Raymond Sawaya, MD, FAANS

This course will examine the current use and pitfalls of big data analysis in current neurosurgical practice. An introduction to basic statistical principles and the origins of big data in medicine will provide the setting for the current environment. Specific topics related to big data use in neurosurgery quality registries, publically available national registries and the outlook for personalized neurosurgical care that are developed from research in genomics will be discussed in depth.

Learning Objectives: After completing this educational activity, participants should be able to:

  • Identify what is meant by the term "big data".
  • Evaluate the benefits and dangers of public policy related to use of national surgical registries.
  • Interpret studies done on public databases, such as NIS and SEER.
  • Recognize how current research using big data techniques will influence your future neurosurgery practice.